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Using underutilized CPU resources to enhance its reliability

Research output: Contribution to journalJournal article

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<mark>Journal publication date</mark>1/01/2010
<mark>Journal</mark>IEEE Transactions on Dependable and Secure Computing
Issue number1
Volume7
Number of pages16
Pages (from-to)94-109
Publication statusPublished
Early online date16/05/08
Original languageEnglish

Abstract

Soft errors (or Transient faults) are temporary faults that arise in a circuit due to a variety of internal noise and external sources such as cosmic particle hits. Though soft errors still occur infrequently, they are rapidly becoming a major impediment to processor reliability. This is due primarily to processor scaling characteristics. In the past, systems designed to tolerate such faults utilized costly customized solutions, entailing the use of replicated hardware components to detect and recover from microprocessor faults. As the feature size keeps shrinking and with the proliferation of multiprocessor on die in all segments of computer-based systems, the capability to detect and recover from faults is also desired for commodity hardware. For such systems, however, performance and power constitute the main drivers, so the traditional solutions prove inadequate and new approaches are required. We introduce two independent and complementary microarchitecture-level techniques: Double Execution and Double Decoding. Both exploit the typically low average processor resource utilization of modern processors to enhance processor reliability. Double Execution protects the Out-Of-Order part of the CPU by executing each instruction twice. Double Decoding uses a second, low-performance low-power instruction decoder to detect soft errors in the decoder logic. These simple-to-implement techniques are shown to improve the processor's reliability with relatively low performance, power, and hardware overheads. Finally, the resulting excessive reliability can even be traded back for performance by increasing clock rate and/or reducing voltage, thereby improving upon single execution approaches. © 2006 IEEE.